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Roman55 [17]
2 years ago
13

Evalute 10(4+3*2)/(2*6-7) [2.3,2.5,2.7,2.9,3.1]

Mathematics
1 answer:
Olenka [21]2 years ago
7 0

"evaluate 10(4+3*2)/(2*6-7)

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Find the equation of the line parallel to y = 2x + 8 and passes through (4, - 6)
uysha [10]

Answer:

y=2x-14

Step-by-step explanation:

y=2x+8

y-y1=m(x-x1)

y-(-6)=2(x-4)

y+6=2x-8

y=2x-8-6

y=2x-14

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3 years ago
Explain two different waysto find the difference for 12-3
Natasha2012 [34]

12-3=9 there is only 1 way to find 12-3
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3 years ago
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If you have to drive 200 miles and someone drives 4/10 of the distance and some one else drives 20% what does the other person.
Dafna11 [192]

Answer:80 miles

Step-by-step explanation:

40% of 200 is 80 and the first two people drive a total of 60% leaving 40% for the last person

8 0
3 years ago
The breaking strength of a cable is assumed to be lognormally distributed with a mean of 75 and standard deviation of 20. • If t
son4ous [18]

Answer:

If the load of magnitude 50 is hung from the cable, determine the probability of failure of the cable?

There is a 10.56% probability of failure of the cable.

If the load can take values 30, 50, and 70 with probabilities 0.2, 0.35, and 0.45 respectively, determine the probability of failure of the cable?

There is a 15.87% probability of failure of the cable.

Step-by-step explanation:

Problems of normally distributed samples can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

In this problem, we have that:

The breaking strength of a cable is assumed to be lognormally distributed with a mean of 75 and standard deviation of 20. This means that \mu = 75, \sigma = 20.

If the load of magnitude 50 is hung from the cable, determine the probability of failure of the cable?

This is the pvalue of Z when X = 50.

Z = \frac{X - \mu}{\sigma}

Z = \frac{50 - 75}{20}

Z = -1.25

Z = -1.25 has a pvalue of 0.1056.

There is a 10.56% probability of failure of the cable.

If the load can take values 30, 50, and 70 with probabilities 0.2, 0.35, and 0.45 respectively, determine the probability of failure of the cable?

Now we have that

X = 0.2(30) + 0.35(50) + 0.45(70) = 55

Z = \frac{X - \mu}{\sigma}

Z = \frac{55 - 75}{20}

Z = -1

Z = -1 has a pvalue of 0.1587.

There is a 15.87% probability of failure of the cable.

3 0
3 years ago
1. In the middle of the page, draw two circles an inch apart.
Tom [10]
The answer is b, glasses
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3 years ago
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